Senior AI/ML Platform Engineer, GSK

$145.9-197.4k

18% Annual Bonus plus LTI

Docker

Kubernetes

GCP

Python

Airflow

Tensorflow

Terraform

Ansible

Azure

Kubeflow

PyTorch

Senior level

London

More information about location

2 days a week in office (Seattle)

Building a cutting-edge digital and tech team.

Job no longer available

Building a cutting-edge digital and tech team.

1001+ employees

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

Job no longer available

$145.9-197.4k

18% Annual Bonus plus LTI

Docker

Kubernetes

GCP

Python

Airflow

Tensorflow

Terraform

Ansible

Azure

Kubeflow

PyTorch

Senior level

London

More information about location

2 days a week in office (Seattle)

1001+ employees

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

Company mission

At GSK, we use technology to deliver what matters most, better and faster. Whether it’s life-saving medicines or life-enhancing products, Tech at GSK helps scale and accelerate our expertise.

Job

Company

Role

Who you are

BS or MS in Computer Science or a related technical field, or equivalent experience
Some industry and/or academic experience in software engineering
Intermediate skills in Python and deploying APIs and packages
Understanding of Cloud Computing, Distributed Systems, and CI/CD
Familiarity with Kubernetes and/or Docker
Familiarity with ML frameworks such as PyTorch, TensorFlow, or Sci-kit Learn
Experience in the AI/ML and Big Data space
Experience in workflow orchestration with tools such as Argo Workflow, Kubeflow, Airflow, etc
Experience with Cloud CI/CD infrastructure and tools such as Azure DevOps and CloudBuild
Experience with Infrastructure as Code tools such as Terraform , Ansible, and Packer
Familiarity with more than one cloud computing environment (AWS, Azure, GCP)
Familiarity with Event-Driven APIs

Desirable

Experience working in a highly regulated industry such as Healthcare
Knowledge of the wider CNCF ecosystem around build, deployment, orchestration, and monitoring

What the job involves

Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time
Design, develop, test, document and maintain platform services, tools, and infrastructure
Continuously scale and enhance operational efficiencies around platform’s CI/CD capabilities
Work closely with engineers, researchers, and other science domain experts on productionizing AI/ML models and pipelines
Drive and maintain development standards and processes across the team and wider organization
Stay up to date on the latest leading technologies in the AI/ML software ecosystem

Salary benchmarks

Our take

GSK Tech is set to build a suite of next-generation platforms for data- and prediction-driven drug discovery in support of GSK's Research and AI/ML organizations, and an industry-leading data engineering function in support of AI/ML and Genomic Sciences.

GSK’s ambitions go far past the data lake: they’re building a comprehensive data and machine learning ecosystem that can speak to the customers in their own scientific and technical language and semantics. Enabled by GSK Knowledge Graph, powered by machine learning, and underpinned by natural language processing, GSK's vision is for accessibility to data (and, importantly, the knowledge it represents). GSK wants to increase this tenfold, taking mere moments to find, access, and integrate the right information.

The creation of GSK Tech shows GSK's commitment to making a major investment in changing how we think about data in the research space, and levelling up the data experience for GSK's researchers, scientists, computational scientists, AI/ML Engineers, and ultimately decision-makers. As of 2024, GSK is putting more energy into its Cyber Security features, thus widening its market reach.

Steph

Company Specialist at Welcome to the Jungle

Insights

45% female employees

6% employee growth in 12 months

Glassdoor (4.1)

Company

Company benefits

An annual bonus based on company performance
Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support
Employee recognition programmes which reward exceptional achievements
Long term incentives through share ownership link your rewards to our longer term performance
Coaching, mentoring and formal training programmes
Plenty of opportunities for open conversations with people who can help to shape your career
A range of health and wellbeing programmes and support services to help employees understand how to feel healthier, happier and more energised at work and at home

Company HQ

Brentford, UK

Leadership

Luke Miels

(CEO)

Luke became CEO on Jan 1, 2026, after serving as CEO designate since Sept 2025. He joined GSK in 2017 as Chief Commercial Officer, responsible for our commercial portfolio of medicines and vaccines.

Shobie Ramakrishnan

(Chief Digital and Technology Officer)

Has a broad experience in biotech and hi-tech companies. Has led Digital and Technology for GSK’s Global Commercial organisation, transforming the company’s capabilities in digital, data & analytics.

Michael Elmore

(SVP & Global Chief Information Security Officer)

Experienced in building and leading tech teams across cyber security, IT infrastructure, application development, and more. A trusted advisor to VCs and startups focusing on cybersecurity advancements.

Shubha Chaudhari

(SVP, Development Digital & Tech)

Previously worked at Novartis in several roles, including Head of Clinical Informatics, Global Head of Development Informatics, and Head of Digital Transformation.

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